Computer Science & Machine Learning

Current Curriculums

  • Princeton University: Algorithms Part II [Course]
  • Khan Academy: Multivariable calculus [Course]
  • MITx: 6.041x Introduction to Probability - The Science of Uncertainty [Course]

Next Steps

  • Stanford University: Statistical Learning [Course]
  • [Course]


  • Princeton University: Algorithms Part I [Course]
  • UTAustinX: UT.5.04x LAFF: Linear Algebra - Foundations to Frontiers [Course] [100%]
  • The Ohio State University: Calculus Two - Sequences and Series [Course] [100%]
  • Stanford University: Machine Learning [Course] [99.6%]
  • The Ohio State University: Calculus One [Course] [100%]
  • MITx: 6.00.2x Introduction to Computational Thinking and Data Science [Course] [93%]
  • UTAustinX: UT.9.10x Effective Thinking Through Mathematics [Course] [NaN]
  • HarvardX: CS50 Introduction to Computer Science [Course]

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